"Information about SQLite database software" matching MCP servers:

Enables MCP clients to interact with pre-registered SQLite databases using aliases, supporting schema inspection, read-only queries, and data modification via tools.

Lets AI agents query local SQLite database files read-only using Node's built-in sqlite module, providing tools for listing tables, describing schemas, and running SQL queries.

Production-grade, token-optimized FastMCP SQLite Server with O(1) schema discovery, opcode watchdog, and fuzzy self-healing.

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Read-only SQLite access for AI agents in a single ~1 MB static binary. Query tool with row limits, list_tables, and table schemas exposed as MCP resources. The database is opened read-only, so writes fail at the SQLite layer. No Python, no Node, no runtime to install; SQLite is compiled in. Binaries for Linux, macOS, and Windows.

Enables comprehensive SQLite database operations including CRUD operations, schema management, and meta commands across multiple database files through the Model Context Protocol.

MCP server for exploring SQLite databases, offering tools to list tables, describe table structures, and execute read-only SQL queries.

Enables secure and controlled access to SQLite databases through the Model Context Protocol. Provides comprehensive database operations with granular permissions, SQL injection protection, and audit logging for safe database interactions.

Enables Claude to safely explore and query a SQLite database through natural language, including listing tables, inspecting schemas, and running read-only SELECT queries.

Enables exploring and querying SQLite databases through natural language, with tools to list tables, describe table structures, and run SELECT queries.

Provides comprehensive SQLite database interaction through MCP, enabling CRUD operations, custom SQL queries, and database exploration.

Provides a natural language interface for querying and managing PostgreSQL, MySQL, MariaDB, MSSQL, and SQLite databases using the Model Context Protocol. Users can explore database schemas and visualize query results through an integrated web dashboard.

Enables AI agents to query and explore SQLite databases through schema inspection, arbitrary SQL execution, and predefined canned queries. Compatible with Datasette metadata for enriching database structure with descriptions.

An MCP server that enables AI agents to interact with SQLite databases by querying schemas, executing SQL, and inspecting table metadata. It supports safe database access through configurable read-only modes, query timeouts, and dry-run execution plans.

Provides comprehensive SQLite database interaction for AI agents, including data manipulation, schema inspection, and automated query logging. It features a unique context preservation pattern that uses a dedicated meta-table to help autonomous agents maintain self-documenting database architectures.

A Python-based SQLite MCP server supporting database read/write operations with natural language interaction capabilities, packaged for Docker deployment in stdio mode.

MCP server that provides SQLite database operations. Allows AI assistants to query, modify and manage SQLite databases through the Model Context Protocol.

Enables SQLite database interactions including querying, updating, and schema management through structured tools.

Enables natural language interaction with a corporate SQLite database, allowing users to set up tables, add records, and search data through plain English commands.

Enables AI assistants to execute arbitrary SQL queries on a local SQLite database via a single execute_sql tool.